Namespaces
namespace	Constraint

Classes
class	Asimov
	TODO Here, we are missing some documentation. More...

class	Channel
	This class encapsulates all information for the statistical interpretation of one experiment. More...

class	ConfigParser
	TODO Add documentation. More...

class	Data

class	EstimateSummary

class	FlexibleInterpVar

class	hf_exc

class	HistFactoryNavigation

class	HistFactorySimultaneous
	RooSimultaneous facilitates simultaneous fitting of multiple PDFs to subsets of a given dataset. More...

class	HistoFactor
	Configuration for an unconstrained, coherent shape variation of affected samples. More...

class	HistogramUncertaintyBase
	////////////////////////////////////////////////////////////////////////////////////////////Base class to store the up and down variations for histogram uncertainties. More...

class	HistoSys
	Configuration for a constrained, coherent shape variation of affected samples. More...

class	HistoToWorkspaceFactory

class	HistoToWorkspaceFactoryFast

class	HistRef
	Internal class wrapping an histogram and managing its content. More...

class	LinInterpVar
	RooAbsReal that does piecewise-linear interpolations. More...

class	Measurement
	The RooStats::HistFactory::Measurement class can be used to construct a model by combining multiple RooStats::HistFactory::Channel objects. More...

class	NormFactor
	Configuration for an un- constrained overall systematic to scale sample normalisations. More...

class	OverallSys
	Configuration for a constrained overall systematic to scale sample normalisations. More...

class	PreprocessFunction

class	RooBarlowBeestonLL
	Class RooBarlowBeestonLL implements the profile likelihood estimator for a given likelihood and set of parameters of interest. More...

class	Sample

class	ShapeFactor
	Unconstrained bin-by-bin variation of affected histogram. More...

class	ShapeSys
	Constrained bin-by-bin variation of affected histogram. More...

class	StatError
	Statistical error of Monte Carlo predictions. More...

class	StatErrorConfig
	Configuration to automatically assign nuisance parameters for the statistical error of the Monte Carlo simulations. More...

Functions
void	AddParamsToAsimov (RooStats::HistFactory::Asimov &asimov, std::string str)

void	AddSubStrings (vector< std::string > &vs, std::string s)

bool	AddSummaries (std::vector< EstimateSummary > &summary, std::vector< std::vector< EstimateSummary > > &master)

std::string	channelNameFromPdf (RooAbsPdf *channelPdf)

void	FactorizeHistFactoryPdf (const RooArgSet &, RooAbsPdf &, RooArgList &, RooArgList &)

void	fastDriver (std::string input)

void	FitModel (RooWorkspace *, std::string data_name="obsData")

void	FitModelAndPlot (const std::string &measurementName, const std::string &fileNamePrefix, RooWorkspace , std::string, std::string, TFile , FILE *)

void	FormatFrameForLikelihood (RooPlot *frame, std::string xTitle=std::string("#sigma / #sigma_{SM}"), std::string yTitle=std::string("-log likelihood"))

vector< pair< std::string, std::string > >	get_comb (vector< std::string > names)

std::vector< RooStats::HistFactory::EstimateSummary >	GetChannelEstimateSummaries (RooStats::HistFactory::Measurement &measurement, RooStats::HistFactory::Channel &channel)

std::vector< std::string >	GetChildrenFromString (std::string str)

void	getDataValuesForObservables (std::map< std::string, std::vector< double > > &ChannelBinDataMap, RooAbsData data, RooAbsPdf simPdf)

TH1 *	GetHisto (const std::string file, const std::string path, const std::string obj)

TH1 *	GetHisto (TFile *inFile, const std::string name)

int	getStatUncertaintyConstraintTerm (RooArgList constraints, RooRealVar gamma_stat, RooAbsReal &pois_mean, RooRealVar &tau)

bool	getStatUncertaintyFromChannel (RooAbsPdf channel, ParamHistFunc &paramfunc, RooArgList *gammaList)

RooAbsPdf *	getSumPdfFromChannel (RooAbsPdf *channel)

vector< EstimateSummary > *	loadSavedInputs (TFile *outFile, std::string channel)

RooWorkspace *	MakeModelAndMeasurementFast (RooStats::HistFactory::Measurement &measurement)

void	saveInputs (TFile *outFile, std::string channel, vector< EstimateSummary > summaries)

Variables
Channel	BadChannel

Function Documentation

◆ AddParamsToAsimov()

void RooStats::HistFactory::AddParamsToAsimov	(	RooStats::HistFactory::Asimov &	asimov,
		std::string	str
	)

Definition at line 199 of file Helper.cxx.

◆ AddSubStrings()

void RooStats::HistFactory::AddSubStrings	(	vector< std::string > &	vs,
		std::string	s
	)

Definition at line 165 of file Helper.cxx.

◆ AddSummaries()

bool RooStats::HistFactory::AddSummaries	(	std::vector< EstimateSummary > &	summary,
		std::vector< std::vector< EstimateSummary > > &	master
	)

◆ fastDriver()

void RooStats::HistFactory::fastDriver ( std::string input )

Definition at line 34 of file hist2workspace.cxx.

◆ FitModel()

void RooStats::HistFactory::FitModel	(	RooWorkspace *	combined,
		std::string	data_name = `"obsData"`
	)

Definition at line 466 of file MakeModelAndMeasurementsFast.cxx.

◆ FitModelAndPlot()

void RooStats::HistFactory::FitModelAndPlot	(	const std::string &	measurementName,
		const std::string &	fileNamePrefix,
		RooWorkspace *	combined,
		std::string	channel,
		std::string	data_name,
		TFile *	outFile,
		FILE *	tableFile
	)

Definition at line 296 of file MakeModelAndMeasurementsFast.cxx.

◆ FormatFrameForLikelihood()

void RooStats::HistFactory::FormatFrameForLikelihood	(	RooPlot *	frame,
		std::string	xTitle = `std::string("#sigma / #sigma_{SM}")`,
		std::string	yTitle = `std::string("-log likelihood")`
	)

Definition at line 493 of file MakeModelAndMeasurementsFast.cxx.

◆ get_comb()

std::vector< std::pair< std::string, std::string > > RooStats::HistFactory::get_comb ( vector< std::string > names )

Definition at line 38 of file Helper.cxx.

◆ GetChannelEstimateSummaries()

std::vector< EstimateSummary > RooStats::HistFactory::GetChannelEstimateSummaries	(	RooStats::HistFactory::Measurement &	measurement,
		RooStats::HistFactory::Channel &	channel
	)

Definition at line 257 of file Helper.cxx.

◆ GetChildrenFromString()

std::vector< std::string > RooStats::HistFactory::GetChildrenFromString ( std::string str )

Definition at line 179 of file Helper.cxx.

◆ GetHisto() [1/2]

TH1 * RooStats::HistFactory::GetHisto	(	const std::string	file,
		const std::string	path,
		const std::string	obj
	)

Definition at line 136 of file Helper.cxx.

◆ GetHisto() [2/2]

TH1 * RooStats::HistFactory::GetHisto	(	TFile *	inFile,
		const std::string	name
	)

Definition at line 115 of file Helper.cxx.

◆ loadSavedInputs()

std::vector< EstimateSummary > * RooStats::HistFactory::loadSavedInputs	(	TFile *	outFile,
		std::string	channel
	)

Definition at line 49 of file Helper.cxx.

◆ saveInputs()

void RooStats::HistFactory::saveInputs	(	TFile *	outFile,
		std::string	channel,
		vector< EstimateSummary >	summaries
	)

Definition at line 79 of file Helper.cxx.

Variable Documentation

◆ BadChannel

Channel RooStats::HistFactory::BadChannel

Definition at line 59 of file Channel.cxx.

Namespaces

Classes

Functions

Variables